Optimizing Semantic Web Services Ranking Using Parallelization and Rank Aggregation Techniques

@inproceedings{Toma2010OptimizingSW,
  title={Optimizing Semantic Web Services Ranking Using Parallelization and Rank Aggregation Techniques},
  author={Ioan Toma and Ying Ding and Dieter Fensel},
  booktitle={ISSS/BPSC},
  year={2010}
}
The problem of combining many rank orderings of the same set of candidates, also known as the rank aggregation problem, has been intensively investigated in the context of Web (e.g meta-search) databases (e.g combining results from multiple databases), statistics (e.g. correlations), and last but not least sports and elections competitions. In this paper we… CONTINUE READING